Around the world, AI is making supply chains faster, more reliable and more profitable.

Artificial intelligence is one of the most promising technologies available to businesses today. A McKinsey study of more than 2,000 participants found that 58% of respondents use AI in at least one process. This impressive adoption rate isn’t baseless, either, as AI can improve areas like supply chain management in several ways.

Logistics is a fast-moving and essential industry, one that many other sectors rely on to function. As such, it stands to benefit from thorough and timely data analytics. AI makes this possible.

Some AI technologies have already seen widespread adoption in logistics, while some are just now emerging. Here are 10 ways AI is and can improve the supply chain.

1. Faster Data Analysis

Data analytics are essential to the modern supply chain. Logistics companies need to analyze vast amounts of information to find inefficiencies and potential ways to improve. This process doesn’t require AI, but it does it much faster.

Combing through information manually to make insightful connections can take a lot of time. In a business as time-sensitive as logistics, that can be a problem. Since AI systems can analyze multiple data sets at once, they can give supply chains results in a fraction of the time.

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